• DocumentCode
    2619060
  • Title

    Digital Model of Stochastic Road Irregularities to Vehicles in Time Domain

  • Author

    Weifeng, Guo ; Yonglin, Zhang ; Liang, Hou Chuan ; Zhigang, Hu

  • Author_Institution
    Sch. of Mech. Eng., Wuhan Polytech. Univ., Wuhan, China
  • Volume
    1
  • fYear
    2011
  • fDate
    6-7 Jan. 2011
  • Firstpage
    1092
  • Lastpage
    1095
  • Abstract
    Based on the white noise filtration method, the time domain model of stochastic road irregularities was established including the model of multipoint time-delay correlative excitation from the same track and the model of space-coherance excitation from the bilateral tracks of a vehicle on the road. Further the development was made from the time domain model of one dimensional road irregularities to two-dimensional road surface and the simulation realization completed in MATLAB environment. The case studies demonstrated that the digital road surface characteristics simulated by white noise filtration was consistent with that of a standard grade road surface, thus formed virtual road surface which provided digital road environment efficiently and conveniently for virtual prototyping (VP) and virtual proving ground (VPG) of vehicles.
  • Keywords
    automotive engineering; filtration; road vehicles; time-domain analysis; virtual prototyping; white noise; MATLAB environment; digital model; digital road environment; digital road surface characteristics; multipoint time-delay correlative excitation; road vehicle; space-coherance excitation; stochastic road irregularity; time domain model; vehicle bilateral track; virtual prototyping; virtual proving ground; virtual road surface; white noise filtration; Equations; Mathematical model; Roads; Stochastic processes; Time domain analysis; Vehicles; White noise; digital model; stochastic road irregularity; time domain; white noise filtration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
  • Conference_Location
    Shangshai
  • Print_ISBN
    978-1-4244-9010-3
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2011.273
  • Filename
    5720976